Lanh Si Ho
- (2022): Development of deep neural network model to predict the compressive strength of FRCM confined columns. In: Frontiers of Structural and Civil Engineering, v. 16, n. 10 (November 2022).
- (2022): Application of machine learning technique for predicting and evaluating chloride ingress in concrete. In: Frontiers of Structural and Civil Engineering, v. 16, n. 9 (September 2022).
- (2022): Experimental investigation on the performance of concrete incorporating fine dune sand and ground granulated blast-furnace slag. In: Construction and Building Materials, v. 347 (September 2022).
- (2022): Evaluating compressive strength of concrete made with recycled concrete aggregates using machine learning approach. In: Construction and Building Materials, v. 323 (March 2022).
- (2021): Nonlinear Postbuckling of Auxetic-Core Sandwich Toroidal Shell Segments with CNT-Reinforced Face Sheets Under External Pressure. In: International Journal of Structural Stability and Dynamics, v. 22, n. 1 (October 2021).
- (2020): Computational parameter identification of strongest influence on the shear resistance of reinforced concrete beams by fiber reinforcement polymer. In: Structures, v. 27 (October 2020).
- (2020): Application of extreme learning machine in behavior of beam to column connections. In: Structures, v. 25 (June 2020).
- (2018): Analysis of strength development in cement-treated soils under different curing conditions through microstructural and chemical investigations. In: Construction and Building Materials, v. 166 (March 2018).
- (2017): Strength development of cement-treated soils: Effects of water content, carbonation, and pozzolanic reaction under drying curing condition. In: Construction and Building Materials, v. 134 (March 2017).
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